MLOps Components

MLOps components can be broadly classified into three major categories: Development, Operations and Governance. The Development components include everything involved in the creation of machine learning models, such as data extraction, data analysis, feature engineering, and machine learning model training. The Operations category includes components involved in deploying, monitoring, and maintaining machine learning models in production. This may include release management, model serving, and performance monitoring. Lastly, the Governance category encompasses the policies and regulations related to machine learning models. This includes model audit and tracking, model explainability, and security & compliance regulations.